US20240159422A1 - Information processing device and program - Google Patents
Information processing device and program Download PDFInfo
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- US20240159422A1 US20240159422A1 US18/283,717 US202218283717A US2024159422A1 US 20240159422 A1 US20240159422 A1 US 20240159422A1 US 202218283717 A US202218283717 A US 202218283717A US 2024159422 A1 US2024159422 A1 US 2024159422A1
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- 230000010365 information processing Effects 0.000 title claims abstract description 43
- 230000000694 effects Effects 0.000 claims abstract description 71
- 239000000126 substance Substances 0.000 claims description 81
- 238000010438 heat treatment Methods 0.000 claims description 23
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims description 10
- 229910002092 carbon dioxide Inorganic materials 0.000 claims description 5
- 239000001569 carbon dioxide Substances 0.000 claims description 5
- 238000004378 air conditioning Methods 0.000 description 22
- 238000010586 diagram Methods 0.000 description 18
- 230000005855 radiation Effects 0.000 description 10
- 230000006870 function Effects 0.000 description 7
- 238000012545 processing Methods 0.000 description 6
- 239000003507 refrigerant Substances 0.000 description 4
- 238000009413 insulation Methods 0.000 description 3
- 238000002834 transmittance Methods 0.000 description 3
- 230000015654 memory Effects 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 238000007664 blowing Methods 0.000 description 1
- UBAZGMLMVVQSCD-UHFFFAOYSA-N carbon dioxide;molecular oxygen Chemical compound O=O.O=C=O UBAZGMLMVVQSCD-UHFFFAOYSA-N 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 238000003825 pressing Methods 0.000 description 1
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Images
Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
- F24F11/76—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity by means responsive to temperature, e.g. bimetal springs
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/20—Humidity
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/50—Air quality properties
- F24F2110/65—Concentration of specific substances or contaminants
- F24F2110/70—Carbon dioxide
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2614—HVAC, heating, ventillation, climate control
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/08—Thermal analysis or thermal optimisation
Definitions
- the present disclosure relates to an information processing device, and a program.
- Patent Document 1 describes an air conditioning heat source equipment optimum operation controller obtaining an optimum operation plan of a heat source equipment based on a heat load prediction value and an air conditioning/heat source plant model created by combining various kinds of physical models related to an air conditioning/heat source plant.
- an air environment, etc. in a subject space is predicted by setting conditions such as a heat source, an air conditioner, and a space.
- this method requires a significant time to perform each calculation with different calculation conditions.
- An object of the present disclosure is to easily estimate an air environment of a subject space by using a model that predicts an environment where elements are placed in a desired manner.
- An information processing device of the present disclosure includes: a storage section storing an element model created for each of elements affecting an air environment of a space, the element model predicting an effect of each of the elements on the air environment of the space; a placement acquisition section acquiring information on placement of each of the elements provided in a predetermined subject space; and an estimation section estimating an air environment in the subject space using the information on the placement of each of the elements acquired by the placement acquisition section and the element model, which corresponds to each of the elements, stored in the storage section.
- the air environment in the subject space can be easily estimated using models that predict an environment with elements placed in a desired manner.
- the element model may be a model of an element affecting the air environment of the space.
- the air environment in the subject space can be easily estimated using models of elements affecting an air environment of a space.
- the air environment of the space may include at least one of a temperature, a humidity, an airflow, and a concentration of carbon dioxide in the space.
- At least one of a temperature, a humidity, an airflow, and a concentration of carbon dioxide in the subject space can be easily estimated using a model predicting at least one of a temperature, a humidity, an airflow, and a concentration of carbon dioxide with elements placed in a desired manner.
- the element model may include an air conditioner model for predicting an effect of an air conditioner, which is provided to the space, on the air environment of the space.
- the air environment in the subject space can be easily estimated using models that predict an environment with air conditioners placed in a desired manner.
- the element model may include a heating element model for predicting an effect of a heating element, which is present in the space, on the air environment of the space.
- the air environment in the subject space can be easily estimated using models that predict an environment with heating elements placed in a desired manner.
- the effect of the heating element on the air environment of the space may be an effect of heat generated by the heating element.
- the air environment in the subject space can be easily estimated taking into account the effects of heat generated by the heating element.
- the element model may include a non-heating element model for predicting an effect of a non-heating element, which is present in the space, on the air environment of the space.
- the air environment in the subject space can be easily estimated using models that predict an environment with non-heating elements placed in a desired manner.
- the element model may include an external environment model for predicting an effect of an external environment of the space on the air environment of the space.
- the air environment in the subject space can be easily estimated using models that predict the effects of a desired external environment.
- the element model may further include a first substance model for predicting an effect of the external environment on the air environment of the space exerted through a first substance constituting an outer surface of the space.
- the air environment in the subject space can be easily estimated using models that predict the effects of the external environment with the first substances placed in a desired manner.
- the element model may further include a second substance model for predicting an effect of a second substance on the air environment of the space, the second substance controlling the effect exerted by the external environment through the first substance.
- the air environment in the subject space can be easily estimated using models that predict the effects of the external environment exerted through the first substances with the second substances placed in a desired manner.
- the element model further may include a medium model for predicting an effect of the external environment on the air environment of the space exerted by a medium directly flowing into the space.
- the air environment in the subject space can be easily estimated using models that predict the effects of the external environment with the medium in a desired state.
- the element model may further include a second substance model for predicting an effect of a second substance on the air environment of the space, the second substance controlling the effect of the external environment exerted by the medium.
- the air environment in the subject space can be easily estimated using models that predict the effects of the external environment exerted by the medium with the second substances placed in a desired manner.
- the information processing device of the present disclosure may further include: a target acquisition section acquiring a target air environment of the space; and a control section controlling the element provided in the subject space to reduce a difference between the air environment in the subject space estimated by the estimation section and the target air environment of the space acquired by the target acquisition section.
- the air environment in the estimated subject space can be closer to the target air environment.
- the placement acquisition section may acquire the information on the placement by accepting designation of a position of an object image corresponding to each of the elements on a screen.
- the placement acquisition section may accept designation of orientation of each of the elements in the subject space on the screen.
- the orientation of elements can be acquired by performing operations on the screen.
- the placement acquisition section may acquire the information on the placement including information on a position of each of the elements in at least one of a vertical direction and a horizontal direction in the subject space.
- the air environment in the target space can be easily estimated even if the desired position of the element is in at least one of a vertical direction and a horizontal direction.
- the estimation section may estimate the air environment in the subject space using the plural element models taking into account mutual effects among the plural elements.
- the air environment in the subject space can be easily estimated taking into account the effects among the plural elements.
- a program of the present disclosure causes a computer to execute: a function of storing an element model created for each of elements affecting an air environment of a space, the element model predicting an effect of each of the elements on the air environment of the space; a function of acquiring information on placement of each of the elements provided in a predetermined subject space; and a function of estimating an air environment in the subject space using the acquired information on the placement of each of the elements and the element model corresponding to each of the elements.
- the air environment in the subject space can be easily estimated using models that predict an environment with elements placed in a desired manner.
- FIG. 1 is a diagram showing an overall configuration example of an air environment control system to which the present embodiment is applied;
- FIG. 2 is a diagram showing a hardware configuration example of an information processing device in the present embodiment
- FIG. 3 is a block diagram showing a functional configuration example of the information processing device in the present embodiment
- FIG. 4 is a flowchart showing an operation example of the information processing device in the present embodiment
- FIG. 5 is a diagram showing an example of an input screen for inputting information on placement acquired in the present embodiment
- FIG. 6 is a diagram showing an example of an input screen for inputting information on a target temperature acquired in the present embodiment
- FIG. 7 is a diagram showing an example of information on a temperature acquired in the present embodiment.
- FIG. 8 is a diagram showing an example of a temperature at each division estimated in the present embodiment.
- FIG. 9 is a diagram showing an example of control by an air conditioning device using a control parameter output in the present embodiment.
- FIGS. 10 A and 10 B are diagrams each showing another example of an input screen for inputting information on placement acquired in the present embodiment.
- FIG. 1 is a diagram showing an overall configuration example of an air environment control system 10 to which the present embodiment is applied.
- the air environment control system 10 is a system that controls an air environment in a subject space 100 .
- the air environment in the subject space 100 includes various types such as a temperature, a humidity, a carbon dioxide concentration, an oxygen concentration, an airflow, and an odor, but in the following, the temperature is described as an example.
- the air environment control system 10 includes an air conditioning device 200 , a control device 300 , a temperature sensor 400 , an input/output device 500 , and an information processing device 600 .
- the subject space 100 is a space whose air environment is to be controlled by the air environment control system 10 .
- the subject space 100 is a space surrounded by a wall 110 , a door 120 , a floor 130 , and a ceiling (not shown).
- the wall 110 is provided with a window 140 .
- a substance constituting the outer surface of the subject space 100 such as the wall 110 , the door 120 , the floor 130 , the ceiling (not shown), or the window 140 is called a first substance.
- indoor units 210 a to 210 c and a remote controller 240 (hereinafter referred to as “remocon”) of the air conditioning device 200 to be described later, a third temperature sensor 430 (retrofit sensor) to be described later, and the input/output device 500 to be described later are installed.
- fixtures emitting heat such as lighting, personal computers, monitors, and printers (hereinafter referred to as “heat-generating fixtures”), and fixtures not emitting heat such as desks, chairs, sofas, tables, and rugs (hereinafter, referred to as “non-heat-generating fixtures”) are placed.
- substances such as curtains and blinds that control the effects of the external environment such as a temperature, a humidity, an amount of solar radiation, an angle of solar radiation, a wind speed, and a wind pressure on the subject space 100 are placed.
- the substance controlling the effects of the external environment on the subject space 100 such as the curtain or the blind is referred to as a second substance.
- the air conditioning device 200 is a device that conditions the air in the subject space 100 .
- the air conditioning device 200 includes the indoor units 210 a to 210 c , an outdoor unit 220 , piping 230 , and the remocon 240 .
- the indoor units 210 a to 210 c are installed in the subject space 100 and absorb heat from the air in the subject space 100 or discharge heat to the inside of the subject space 100 by exchanging heat between the refrigerant coming through the piping 230 and the air in the subject space 100 .
- the outdoor unit 220 is installed outside the subject space 100 and discharges heat to the inside of the subject space 100 or absorbs heat from the air in the subject space 100 by exchanging heat between the refrigerant coming through the piping 230 and the air in the subject space 100 .
- the piping 230 is a pipe connecting the indoor units 210 a to 210 c and the outdoor unit 220 , through which the refrigerant passes.
- the remocon 240 is a device for remotely operating the air conditioning device 200 . Note that the indoor units 210 a to 210 c are shown in the figure, but in the case where there is no need to distinguish the indoor units, the units are sometimes referred to as the indoor units 210 . The figure shows three indoor units 210 ; however, one, two, or four or more indoor units 210 may be installed.
- the control device 300 is a device that controls the air conditioning device 200 to operate based on the set requirements.
- the temperature sensor 400 is installed at a predetermined position in the subject space 100 , and measures the temperature at the predetermined position.
- the temperature sensor 400 includes first temperature sensors 410 a to 410 c , a second temperature sensor 420 , and a third temperature sensor 430 .
- the first temperature sensors 410 a to 410 c are temperature sensors installed in the indoor units 210 a to 210 c , respectively, and measure the inlet temperature, which is the temperature of the air sucked into indoor units 210 a to 210 c .
- the second temperature sensor 420 is the temperature sensor of a thermistor of the remocon 240 to measure the temperature of the air around the remocon 240 .
- the third temperature sensor 430 is a temperature sensor installed retrospectively in the subject space 100 to measure the temperature of the air in the subject space 100 .
- the third temperature sensor 430 is not installed.
- the input/output device 500 is, for example, placed in the subject space 100 , and accepts the user operations to input information on placement of the indoor units 210 , the remocon 240 , the third temperature sensor 430 , the fixtures, the first substances, the second substances, etc., and information on the gaps in the first substances.
- the input/output device 500 accepts the user operation to input the target temperature at each position in the subject space 100 .
- the input/output device 500 outputs an image object representing the subject space 100 , and by placing icons on the image object, the placement information and the target temperature may be input.
- the input/output device 500 may allow input of orientation information.
- the input/output device 500 may be a touch panel, for example.
- the information processing device 600 Based on the placement information for each element such as the indoor unit 210 , the fixture, the first substance, and the second substance in the subject space 100 , the information processing device 600 creates a superposition model by superimposing the physical models of respective elements stored in advance. The information processing device 600 then estimates the temperature at each position in the subject space 100 using the temperature measured by the temperature sensor 400 and the superposition model. The information processing device 600 then controls the air conditioning device 200 so that the difference between the target temperature at each position input by the user and the estimated temperature at each position is reduced. [Hardware configuration of information processing device]
- FIG. 2 is a diagram showing a hardware configuration example of the information processing device 600 in the present embodiment.
- the information processing device 600 includes a CPU (Central Processing Unit) 601 , which is an arithmetic unit, a RAM (Random Access Memory) 602 , which is a storage unit, a ROM (Read Only Memory) 603 , and a storage device 604 .
- the RAM 602 is a main storage device (main memory), and used as a working memory when the CPU 601 performs arithmetic processing.
- the ROM 603 holds programs and data of setting values prepared in advance, etc., and the CPU 601 can execute processing by directly reading the programs and data from the ROM 603 .
- the storage device 604 is a storing unit for programs and data.
- the storage device 604 stores the programs, and the CPU 601 reads the programs stored in the storage device 604 into the main storage device to execute thereof.
- the storage device 604 stores the processing results by the CPU 601 to preserve thereof.
- a magnetic disk device, an SSD (Solid State Drive), etc. can be used as the storage device 604 .
- FIG. 3 is a block diagram showing a functional configuration example of the information processing device 600 in the present embodiment.
- the information processing device 600 in the present embodiment includes a storage section 610 , a placement acquisition section 620 , a target acquisition section 630 , a temperature acquisition section 640 , an estimation section 650 , and an output section 660 .
- the storage section 610 stores the physical model of the element affecting the air environment of the subject space 100 (hereinafter, referred to as an “element model”).
- an element is not a component of air such as oxygen, carbon dioxide, or moisture in the subject space 100 , but means an object or a living thing such as the indoor unit 210 , the fixture, the external environment, the substance, or a medium, to be described below.
- the element may be, for example, the indoor unit 210 of the air conditioning device 200 .
- the element model is the physical model of the air conditioning device 200 (hereinafter referred to as an “air conditioner model”).
- the air conditioner model is a model for predicting the effect of the air conditioning device 200 on the temperature at each position in the subject space 100 in the case where the indoor unit 210 of the air conditioning device 200 is at a specified position in the subject space 100 .
- the element may be the fixture, for example.
- the fixtures include the heat-generating fixtures and the non-heat-generating fixtures.
- the element model is the physical model of the heat-generating fixture (hereinafter referred to as a “heat-generating fixture model”).
- the heat-generating fixture model is a model for predicting the effect of the heat-generating fixture on the temperature at each position in the subject space 100 by interrupting the air flow or generating heat in the case where the heat-generating fixture is at a specified position in the subject space 100 . Note that not only the heat-generating fixture, but also an animal such as a human or a plant may affect the temperature at each location in the subject space 100 by interrupting the air flow or generating heat in some cases.
- the heat-generating fixture may be regarded wider as a heating element that generates heat, and may include a physical model of an animal or a plant.
- the heat-generating fixture model is an example of a heating element model for predicting the effect of the heating element present in the space on the air environment of the space.
- the element model is the physical model of the non-heat-generating fixture (hereinafter referred to as a “non-heat-generating fixture model”).
- the non-heat-generating fixture model is a model for predicting the effect of the non-heat-generating fixture on the temperature at each position in the subject space 100 by interrupting the air flow in the case where the non-heat-generating fixture is at a specified position in the subject space 100 .
- the non-heat-generating fixture may be regarded wider as a non-heating element that does not generate heat.
- the non-heat-generating fixture model is an example of a non-heating element model for predicting the effect of the non-heating element present in the space on the air environment of the space.
- the element may be, for example, the external environment such as the temperature, the humidity, the amount of solar radiation, the angle of solar radiation, the wind speed, or the wind pressure outside the subject space 100 .
- the element model is the physical model of the external environment (hereinafter referred to as an “external environment model”).
- the external environment model is a model for predicting the effect of the external environment of the subject space 100 on the temperature at each position in the subject space 100 .
- the element may be, for example, the first substance such as the ceiling, the wall 110 , the floor 130 , or the window 140 that conducts, transfers, or radiates the external environment.
- the element model is the physical model of the first substance (hereinafter referred to as a “first substance model”).
- the first substance model is a model for predicting the effect of the external environment outside the subject space 100 on the temperature at each position in the subject space 100 via the first substance in the case where the first substance is at a specified position on the outer surface of the subject space 100 .
- the element may be, for example, a medium such as a draft that allows the external environment to directly flow in.
- the element model is the physical model of the medium (hereinafter referred to as a “medium model”).
- the medium model is a model for predicting the effect of the external environment outside the subject space 100 on the temperature at each position in the subject space 100 via the medium in the case where a gap, through which the medium directly flows in, is at a specified position on the outer surface of the subject space 100 .
- the element may be the second substance such as a curtain or a blind that controls the effect of the external environment via the first substance or by the medium that directly flows in.
- the element model is the physical model of the second substance (hereinafter referred to as a “second substance model”).
- the second substance model is a model for predicting the effect on the temperature at each position in the subject space 100 by controlling the effect of the external environment given via the first substance or by the medium that directly flows in when the second substance is at a specified position in the subject space 100 .
- the storage section 610 is provided as an example of a storage section that stores the element model created for each element that affects an air environment of a space to predict the effect of the element on the air environment of the space.
- the placement acquisition section 620 acquires information on the placement of elements in the subject space 100 from the input/output device 500 . Specifically, the placement acquisition section 620 acquires information on the placement of the indoor units 210 and remocon 240 in the subject space 100 from the input/output device 500 . At that time, the placement acquisition section 620 acquires information on the placement of the first temperature sensors 410 a to 410 c from the placement information of the indoor units 210 a to 210 c .
- the placement acquisition section 620 acquires the placement information of the second temperature sensor 420 from the placement information of the remocon 240 . If the third temperature sensor 430 is installed, the placement acquisition section 620 also acquires placement information of the third temperature sensor 430 in the subject space 100 from the input/output device 500 . Furthermore, the placement acquisition section 620 acquires information on the placement of the fixtures, the first substances, and the second substances and information on the gaps in the first substances in the subject space 100 from the input/output device 500 .
- the information on the placement of the elements in the subject space 100 may include information on positions of the elements in the vertical and/or horizontal direction in the subject space 100 .
- the placement acquisition section 620 may acquire information on orientations of the elements in the subject space 100 from the input/output device 500 .
- the placement acquisition section 620 is provided as an example of the placement acquisition section that acquires information on placement of each element in a predetermined subject space.
- the target acquisition section 630 acquires the target temperature at each position in the subject space 100 from the input/output device 500 .
- the target acquisition section 630 is provided as an example of a target acquisition section that acquires a target air environment of the space.
- the temperature acquisition section 640 acquires the temperatures measured by the first temperature sensors 410 a to 410 c , the second temperature sensor 420 , and the third temperature sensor 430 . However, the temperature acquisition section 640 acquires the temperature measured by the second temperature sensor 420 only when the second temperature sensor 420 is installed to the remocon 240 . In addition, the temperature acquisition section 640 acquires the temperature measured by the third temperature sensor 430 only when the third temperature sensor 430 is installed. Consequently, the following four patterns can be considered for the temperature acquisition section 640 to acquire the temperatures. The first one is a pattern that acquires the temperatures measured by the first temperature sensors 410 a to 410 c .
- the second one is a pattern that acquires the temperatures measured by the first temperature sensors 410 a to 410 c and the temperature measured by the second temperature sensor 420 .
- the third one is a pattern that acquires the temperatures measured by the first temperature sensors 410 a to 410 c and the temperature measured by the third temperature sensor 430 .
- the fourth one is a pattern that acquires the temperatures measured by the first temperature sensors 410 a to 410 c , the temperature measured by the second temperature sensor 420 , and the temperature measured by the third temperature sensor 430 .
- the estimation section 650 first assumes a specific position p, a temperature around which is to be obtained, from among plural positions in the subject space 100 , and calculates the temperature at the position. For the purpose, the estimation section 650 calculates the temperature difference ⁇ T, which is obtained by subtracting the temperature at the specific position p acquired by the temperature acquisition section 640 , using a physical model.
- the physical model is a superposition model created by superimposing an element model, which has been read from the storage section 610 by the estimation section 650 , on a physical model of the subject space 100 (hereinafter referred to as a “subject space model”) based on the placement information acquired by the placement acquisition section 620 .
- each physical model constituting the superposition model is a term, and each term will be described.
- the first term corresponds to the subject space model, and prescribes the thermal diffusivity and the thermal conductivity from the positions, where the respective first temperature sensors 410 a to 410 c , second temperature sensor 420 , third temperature sensor 430 are installed, to the specific position p.
- the thermal diffusivity and thermal conductivity should be calculated from information on the preset size of the subject space 100 . Assuming the thermal diffusivity as ⁇ , the thermal conductivity as ⁇ , and the position where each of the first temperature sensors 410 a to 410 c , second temperature sensor 420 , and third temperature sensor 430 is installed as n, the term is denoted by f( ⁇ , ⁇ , n, p).
- the second term corresponds to the air conditioner model, and prescribes the effects of the blow-out temperature, the wind direction, the wind speed, and the air volume of the indoor unit 210 of the air conditioning device 200 on the temperature at the specific position p.
- the blow-out temperature, the wind direction, the wind speed, and the air volume of the indoor unit 210 should be dynamically acquired from the control device 300 .
- the blow-out temperature, the wind direction, the wind speed, and the air volume of the indoor unit 210 are T b , B d , B s , and B v , respectively, the position where the indoor unit 210 is placed is n 1 , the term is denoted as g 1 (T b , B d , B s , B v , n 1 , p).
- the specific position p therebetween is affected by blowing out from both indoor units 210 .
- the overall effect should be expressed by simply superimposing the second terms that prescribe the effect on the temperature at the specific position p.
- effects of blow-out from both indoor units 210 are different, such as when the specific position p is toward one side of the two indoor units 210 .
- the second term it is possible to express the effects of the plural indoor units 210 by superposition for all specific positions p by calculating the effects for each distance from the indoor units 210 .
- the estimation section 650 is an example of the estimation section that estimates the air environment in the subject space using plural element models taking into account the mutual effects among the plural elements.
- the third term corresponds to the heat-generating fixture model, and prescribes the effect of the heat-generating fixture, as an interrupting body that interrupts the air flow inside the subject space 100 or as a heating element, on the temperature at the specific position p.
- the information on the heat generated by the heat-generating fixture as a heating element should be acquired from the information on the heat-generating fixture set in advance.
- the effect of the heat-generating fixture as an interrupting body depends on the size of the heat-generating fixture, but the size of the heat-generating fixture should be acquired from the information on the heat-generating fixture set in advance.
- the term is denoted as g 2 (e, s 1 , h 1 , n 2 , p).
- the fourth term corresponds to the non-heat-generating fixture model, and prescribes the effect of the non-heat-generating fixture, as an interrupting body that interrupts the air flow inside the subject space 100 , on the temperature at the specific position p.
- the effect of the non-heat-generating fixture as an interrupting body depends on the size of the heat-generating fixture, but the size of the non-heat-generating fixture should be acquired from the information on the heat-generating fixture set in advance.
- the size of the heat-generating fixture is s 2
- the specific heat is h 2
- the position where the non-heat-generating fixture is placed is n 3
- the term is denoted as g 3 (s 2 , h 2 , n 3 , p).
- the fifth term corresponds to the external environment model, and prescribes the effect of the external environment outside the subject space 100 such as the temperature, the humidity, the amount of solar radiation, the angle of solar radiation, the wind speed, and the wind pressure on the temperature at the specific position p.
- the temperature, the humidity, the amount of solar radiation, the angle of solar radiation, the wind speed, and the wind pressure outside the subject space 100 should be acquired from weather information, etc. in advance.
- the temperature, the humidity, the amount of solar radiation, the angle of solar radiation, the wind speed, and the wind pressure outside the subject space 100 are O t , O h , O sv , O sa , O wy , and O wp , respectively, and the position corresponding to the external environment is n 4 , the term is denoted as g 4 (O t , O h , O sv , O sa , O wy , O wp , n 4 , p).
- the sixth term corresponds to the first substance model, and prescribes the effect of the external environment on the temperature at the specific position p via the first substance such as the ceiling, the wall 110 , the floor 130 , and the window 140 .
- the effect of the external environment via the first substance depends on the size, the thermal insulation performance, etc. of the first substance, and the size, the thermal insulation performance, etc. of the first substance should be acquired from the information on the first substance set in advance.
- the size and the thermal insulation performance of the first substance are s 3 and i, respectively, and the position where the first substance is placed is n 5 , the term is denoted as g 5 (s 3 , i, n 5 , p).
- the seventh term corresponds to the medium model, and prescribes the effect of the external environment on the temperature at the specific position p by the medium such as the draft directly flowing from the first substance such as the ceiling, the wall 110 , the floor 130 , and the window 140 .
- the effect of the external environment by the medium depends on the size of the gap in the first substance, the opening/closing degree of the window 140 , etc.; of these, the size of the gap in the first substance should be acquired from the information on the first substance set in advance, and the opening/closing degree of the window 140 should be dynamically acquired every time the window 140 is opened and closed.
- the size of the gap in the first substance and the opening/closing rate of the window 140 are s g and W o , respectively, and the position where the medium directly flows in is n 6 , the term is denoted as g 6 (s g , W o , n 6 , p).
- the eighth term corresponds to the second substance model, and prescribes the effect on the temperature at the specific position p provided by the second substance such as the curtain or the blind controlling the effect provided by the medium flowing through the first substance or directly from the external environment outside the subject space 100 .
- the control by the second substance depends on the size and the transmittance of the second substance, and the size and the transmittance of the second substance should be acquired from the information on the second substance set in advance.
- the size and the transmittance of the second substance are s 3 and Ct, respectively, and the position where the second substance is placed is n 7 , the term is denoted as g 7 (s 3 , Ct, n 7 , p).
- the estimation section 650 calculates the temperature difference ⁇ T by superimposing the above terms as in the following expression. However, in the following expression, the parentheses describing the parameters of the functions f, g 1 , g 2 , g 3 , g 4 , g 5 , g 6 , g 7 of the respective terms are omitted.
- the estimation section 650 creates the superposition model by performing the same processing for all positions in the subject space 100 as the specific position p. On that occasion, the estimation section 650 creates the superposition model using any one of the first temperature sensors 410 a to 410 c , the second temperature sensor 420 , and the third temperature sensor 430 . For example, first, in the case where only the first temperature sensors 410 a to 410 c are installed, the estimation section 650 should create the superposition model using only the first temperature sensors 410 a to 410 c .
- the estimation section 650 should create the superposition model using a combination of the first temperature sensors 410 a to 410 c and the second temperature sensor 420 .
- the estimation section 650 should create the superposition model using a combination of the first temperature sensors 410 a to 410 c and the third temperature sensor 430 .
- the estimation section 650 should create the superposition model using a combination of the first temperature sensors 410 a to 410 c , the second temperature sensor 420 , and the third temperature sensor 430 .
- the estimation section 650 estimates the temperature at each position in the subject space 100 by inputting the temperature acquired by the temperature acquisition section 640 into the superposition model as an explanatory variable.
- the estimation section 650 is provided as an example of an estimation section that estimates the air environment in the subject space using the information of the placement of each element and the element model corresponding to the element.
- the output section 660 outputs a control parameter to the control device 300 , the control parameter controlling the air conditioning device 200 so that the difference between the target temperature at each position acquired by the target acquisition section 630 and the temperature at each position estimated by the estimation section 650 is reduced.
- the control parameter include the blow-out area, the number of revolutions of fans (air volume), the refrigerant temperature (blow-out temperature), and the flap angle of the air conditioning device 200 .
- the output section 660 is provided as an example of a control section that controls the elements provided in the subject space so that the difference between the air environment in the subject space and the target air environment of the space is reduced.
- the air conditioning device 200 is used as an example of an element controlled by the control section.
- FIG. 4 is a flowchart showing an operation example of the information processing device 600 in the present embodiment. Note that, here, the first temperature sensors 410 a to 410 c , the second temperature sensor 420 , and the third temperature sensor 430 are represented by the temperature sensors 400 .
- the placement acquisition section 620 acquires the information on the placement of the indoor units 210 , the temperature sensors 400 , the fixtures, the first substances, and the second substances in the subject space 100 , and the information on the gaps in the first substances (step 701 ).
- the target acquisition section 630 acquires the information on the target temperature at each position in the subject space 100 (step 702 ).
- the estimation section 650 creates the superposition model by superimposing the air conditioner model, the heat-generating fixture model, the non-heat-generating fixture model, the external environment model, the first substance model, the medium model, and the second substance model, which have been stored in the storage section 610 , on the subject space model (step 703 ).
- the estimation section 650 should create the subject space model based on the information on the placement of the temperature sensors 400 acquired in step 701 .
- the estimation section 650 should create the superposition model by superimposing the air conditioner model, the heat-generating fixture model, the non-heat-generating fixture model, the external environment model, the first substance model, the medium model, and the second substance model based on the information on the placement of the indoor units 210 , the fixtures, the first substances, and the second substances and the information on the gaps in the first substances acquired in step 701 .
- the temperature acquisition section 640 acquires the information on the temperature measured by the temperature sensor 400 (step 704 ). Consequently, the estimation section 650 estimates the temperature at each position in the subject space 100 by inputting the information on the temperature acquired in step 704 into the superposition model created in step 703 (step 705 ).
- the output section 660 outputs the control parameter that controls the air conditioning device 200 to the control device 300 (step 708 ). Specifically, the output section 660 outputs the control parameter to reduce the difference between the target temperature at each position in the subject space 100 acquired in step 702 and the temperature at each position in the subject space 100 estimated in step 705 .
- FIG. 5 is a diagram showing an input screen 810 , which is an example of an input screen for inputting the placement information acquired in step 701 in FIG. 4 .
- the input screen 810 shows a subject space object 811 that is an image object representing the subject space 100 in three dimensions.
- the user inputs information on the placement of each element by placing an image object representing each element on the subject space object 811 .
- the user inputs the information on the placement of the indoor units 210 a and 210 b by placing indoor unit objects 812 a and 812 b representing the indoor units 210 a and 210 b , respectively, on the subject space object 811 .
- the user inputs the information on the placement of the remocon 240 by placing a remocon object 813 representing the remocon 240 on the subject space object 811 .
- the user inputs information on the placement of the third temperature sensor 430 by placing a retrofit sensor object representing the third temperature sensor 430 (retrofit sensor) on the subject space object 811 .
- the user inputs the information on the placement of the desk 160 by placing a desk object 815 representing the desk 160 , which is an example of the fixture, on the subject space object 811 .
- the subject space object 811 should be displayed by the user creating a three-dimensional drawing corresponding to the size of the subject space 100 in the input screen 810 .
- the indoor unit objects 812 a and 812 b , the remocon object 813 , the retrofit sensor object 814 , the desk object 815 , etc. should be placed by the user selecting thereof from a list prepared on the input screen 810 .
- FIG. 6 is a diagram showing an input screen 820 , which is an example of an input screen for inputting information on the target temperature acquired in step 702 in FIG. 4 .
- the input screen 820 shows division objects 821 a to 821 f that are the image objects representing divisions 150 a to 150 f in the subject space 100 in three dimensions, respectively.
- the user inputs the target temperatures in the divisions 150 a to 150 f by placing the target temperatures near the division objects 821 a to 821 f representing the divisions 150 a to 150 f , respectively.
- the user inputs 24° C., 24° C., and 26° C. as the target temperatures in the divisions 150 a , 150 b , and 150 c , respectively.
- the user inputs 22° C., 22° C., and 26° C. as the target temperatures in the divisions 150 d , 150 e , and 150 f , respectively.
- FIG. 7 is a diagram showing an example of information on the temperature acquired in step 704 shown in FIG. 4 .
- the inlet temperature measured by the first temperature sensor 410 a installed to the indoor unit 210 a is 24° C.
- the inlet temperature measured by the second temperature sensor 410 b installed to the indoor unit 210 b is 25° C.
- the temperature measured by the second temperature sensor 420 installed to the remocon 240 is 24° C.
- the temperature measured by the third temperature sensor 430 which is the retrofit sensor, is 24° C.
- FIG. 8 is a diagram showing an example of the temperature in each division estimated in step 705 in FIG. 4 .
- the estimation section 650 estimates the temperatures in the divisions 150 a to 150 f by inputting the information on the temperature shown in FIG. 7 into the superposition model as the explanatory variable. It is assumed that the estimation section 650 estimated the temperatures in the divisions 150 a , 150 b , and 150 c as 24° C., 24° C., and 26° C., respectively. In addition, it is assumed that the temperatures in the divisions 150 d , 150 e , and 150 f were estimated as 24° C., 22° C., and 26° C., respectively.
- the target temperature in the division 150 d that has been input in the input screen 820 in FIG. 6 is 22° C.
- the estimated temperature in the division 150 d shown in FIG. 8 is 24° C.
- the target temperatures in the divisions, other than the division 150 d , that have been input in the input screen 820 in FIG. 6 and the estimated temperatures in the divisions, other than the division 150 d , shown in FIG. 8 are the same.
- FIG. 9 is a diagram showing an example of control of the air conditioning device 200 by the control parameter output in step 706 in FIG. 4 .
- the target temperature in the division 150 d that has been input in the input screen 820 in FIG. 6 is lower than the estimated temperature in the division 150 d shown in FIG. 8 .
- the output section 660 changes the flap angle of the indoor unit 210 a to the angle increasing the air volume by the control parameter.
- the target temperatures in the divisions 150 c and 150 f that have been input in the input screen 820 in FIG. 6 and the estimated temperatures in the divisions 150 c and 150 f shown in FIG. 8 are the same. Therefore, as shown in the figure, the output section 660 stops the operation of the indoor unit 210 b by the control parameter.
- FIGS. 10 A and 10 B are diagrams showing input screens 910 and 920 , respectively, which are other examples of the input screen for inputting the placement information acquired in step 701 in FIG. 4 .
- the input screens 910 and 920 show planar objects 911 and 921 , each of which is an image object representing the subject space 100 in two dimensions, respectively.
- planar objects 911 and 921 desk group objects 912 a to 912 f and desk group objects 922 a to 922 f are placed, respectively, as rough indications for placing each element, each of the desk group objects 912 a to 912 f and the desk group objects 922 a to 922 f representing the desk groups 170 a to 170 f
- the input screen 910 in FIG. 10 A shows a planar object 911 representing a plane 180 at a floor height of 130 mm to 700 mm in the subject space 100 .
- the user inputs information on the placement of each element by placing the image object representing each element on the planar object 911 .
- the user inputs information on the placement of a plant 171 by placing a plant object 913 representing the plant 171 on the desk group object 912 a in the planar object 911 .
- the user inputs information on the placement of personal computer groups 172 a and 172 b by placing personal computer group objects 914 a and 914 b representing the personal computer groups 172 a and 172 b on the desk group objects 912 b and 912 d in the planar object 911 .
- the user inputs information on the placement of a personal computer 173 by placing a personal computer object 915 representing the personal computer 173 on the desk group object 912 e in the planar object 911 .
- the input screen 920 in FIG. 10 B shows a planar object 921 representing a plane 190 at a floor height of 130 mm to 2700 mm in the subject space 100 .
- the user inputs information on the placement of each element by placing the image object representing each element on the planar object 921 .
- the user inputs information on the placement of ceiling-embedded indoor units 250 a to 250 d by placing indoor unit objects 923 a to 923 d representing the ceiling-embedded indoor units 250 a to 250 d on the desk group objects 922 a , 922 c , 922 d and 922 f in the planar object 921 .
- the temperature distribution in the subject space 100 may be displayed by pressing a computation button 919 on the input screen 910 in FIG. 10 A and a computation button 929 on the input screen 920 in FIG. 10 B .
- the processing performed by the information processing device 600 in the present embodiment is provided as, for example, a program such as application software.
- the program causes a computer to execute: a function of storing an element model created for each of elements affecting an air environment of a space, the element model predicting an effect of each of the elements on the air environment of the space; a function of acquiring information on placement of each of the elements provided in a predetermined subject space; and a function of estimating an air environment in the subject space using the acquired information on the placement of each of the elements and the element model corresponding to each of the elements.
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Abstract
By using a model that predicts an environment where elements are arranged in a desired manner, the air environment of the subject space can be easily estimated. An information processing device includes: a storage section storing element models that are created for respective elements which affect an air environment of a space, and that predict the effect of the elements on the air environment of the space; a placement acquisition section acquiring information on the placement of the respective elements provided in a predetermined subject space; and an estimation section estimating the air environment in the subject space using the information on the placement of each of the elements acquired by the placement acquisition section and the element models, which correspond to the elements, stored in the storage section.
Description
- The present disclosure relates to an information processing device, and a program.
- Patent Document 1 describes an air conditioning heat source equipment optimum operation controller obtaining an optimum operation plan of a heat source equipment based on a heat load prediction value and an air conditioning/heat source plant model created by combining various kinds of physical models related to an air conditioning/heat source plant.
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- Patent Document 1: Japanese Patent Laid-Open No. 2002-206785
- For example, in a method such as CFD (computational fluid dynamics), an air environment, etc. in a subject space is predicted by setting conditions such as a heat source, an air conditioner, and a space. However, this method requires a significant time to perform each calculation with different calculation conditions. In addition, it is not easy for a user to create a model according to the desired layout and placement of devices, even with a conventional method using physical models, for example.
- An object of the present disclosure is to easily estimate an air environment of a subject space by using a model that predicts an environment where elements are placed in a desired manner.
- An information processing device of the present disclosure includes: a storage section storing an element model created for each of elements affecting an air environment of a space, the element model predicting an effect of each of the elements on the air environment of the space; a placement acquisition section acquiring information on placement of each of the elements provided in a predetermined subject space; and an estimation section estimating an air environment in the subject space using the information on the placement of each of the elements acquired by the placement acquisition section and the element model, which corresponds to each of the elements, stored in the storage section.
- According to the information processing device, the air environment in the subject space can be easily estimated using models that predict an environment with elements placed in a desired manner.
- The element model may be a model of an element affecting the air environment of the space.
- With this, the air environment in the subject space can be easily estimated using models of elements affecting an air environment of a space.
- The air environment of the space may include at least one of a temperature, a humidity, an airflow, and a concentration of carbon dioxide in the space.
- With this, at least one of a temperature, a humidity, an airflow, and a concentration of carbon dioxide in the subject space can be easily estimated using a model predicting at least one of a temperature, a humidity, an airflow, and a concentration of carbon dioxide with elements placed in a desired manner.
- The element model may include an air conditioner model for predicting an effect of an air conditioner, which is provided to the space, on the air environment of the space.
- With this, the air environment in the subject space can be easily estimated using models that predict an environment with air conditioners placed in a desired manner.
- The element model may include a heating element model for predicting an effect of a heating element, which is present in the space, on the air environment of the space.
- With this, the air environment in the subject space can be easily estimated using models that predict an environment with heating elements placed in a desired manner.
- The effect of the heating element on the air environment of the space may be an effect of heat generated by the heating element.
- With this, the air environment in the subject space can be easily estimated taking into account the effects of heat generated by the heating element.
- The element model may include a non-heating element model for predicting an effect of a non-heating element, which is present in the space, on the air environment of the space.
- With this, the air environment in the subject space can be easily estimated using models that predict an environment with non-heating elements placed in a desired manner.
- The element model may include an external environment model for predicting an effect of an external environment of the space on the air environment of the space.
- With this, the air environment in the subject space can be easily estimated using models that predict the effects of a desired external environment.
- The element model may further include a first substance model for predicting an effect of the external environment on the air environment of the space exerted through a first substance constituting an outer surface of the space.
- With this, the air environment in the subject space can be easily estimated using models that predict the effects of the external environment with the first substances placed in a desired manner.
- The element model may further include a second substance model for predicting an effect of a second substance on the air environment of the space, the second substance controlling the effect exerted by the external environment through the first substance.
- With this, the air environment in the subject space can be easily estimated using models that predict the effects of the external environment exerted through the first substances with the second substances placed in a desired manner.
- The element model further may include a medium model for predicting an effect of the external environment on the air environment of the space exerted by a medium directly flowing into the space.
- With this, the air environment in the subject space can be easily estimated using models that predict the effects of the external environment with the medium in a desired state.
- The element model may further include a second substance model for predicting an effect of a second substance on the air environment of the space, the second substance controlling the effect of the external environment exerted by the medium.
- With this, the air environment in the subject space can be easily estimated using models that predict the effects of the external environment exerted by the medium with the second substances placed in a desired manner.
- The information processing device of the present disclosure may further include: a target acquisition section acquiring a target air environment of the space; and a control section controlling the element provided in the subject space to reduce a difference between the air environment in the subject space estimated by the estimation section and the target air environment of the space acquired by the target acquisition section.
- With this, the air environment in the estimated subject space can be closer to the target air environment.
- The placement acquisition section may acquire the information on the placement by accepting designation of a position of an object image corresponding to each of the elements on a screen.
- With this, information on the placement of elements can be acquired by performing intuitive operations on the screen.
- The placement acquisition section may accept designation of orientation of each of the elements in the subject space on the screen.
- With this, the orientation of elements can be acquired by performing operations on the screen.
- The placement acquisition section may acquire the information on the placement including information on a position of each of the elements in at least one of a vertical direction and a horizontal direction in the subject space.
- With this, the air environment in the target space can be easily estimated even if the desired position of the element is in at least one of a vertical direction and a horizontal direction.
- The estimation section may estimate the air environment in the subject space using the plural element models taking into account mutual effects among the plural elements.
- With this, the air environment in the subject space can be easily estimated taking into account the effects among the plural elements.
- A program of the present disclosure causes a computer to execute: a function of storing an element model created for each of elements affecting an air environment of a space, the element model predicting an effect of each of the elements on the air environment of the space; a function of acquiring information on placement of each of the elements provided in a predetermined subject space; and a function of estimating an air environment in the subject space using the acquired information on the placement of each of the elements and the element model corresponding to each of the elements.
- According to a computer installing the program, the air environment in the subject space can be easily estimated using models that predict an environment with elements placed in a desired manner.
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FIG. 1 is a diagram showing an overall configuration example of an air environment control system to which the present embodiment is applied; -
FIG. 2 is a diagram showing a hardware configuration example of an information processing device in the present embodiment; -
FIG. 3 is a block diagram showing a functional configuration example of the information processing device in the present embodiment; -
FIG. 4 is a flowchart showing an operation example of the information processing device in the present embodiment; -
FIG. 5 is a diagram showing an example of an input screen for inputting information on placement acquired in the present embodiment; -
FIG. 6 is a diagram showing an example of an input screen for inputting information on a target temperature acquired in the present embodiment; -
FIG. 7 is a diagram showing an example of information on a temperature acquired in the present embodiment; -
FIG. 8 is a diagram showing an example of a temperature at each division estimated in the present embodiment; -
FIG. 9 is a diagram showing an example of control by an air conditioning device using a control parameter output in the present embodiment; and -
FIGS. 10A and 10B are diagrams each showing another example of an input screen for inputting information on placement acquired in the present embodiment. - Hereinafter, an embodiment will be described in detail with reference to attached drawings.
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FIG. 1 is a diagram showing an overall configuration example of an airenvironment control system 10 to which the present embodiment is applied. The airenvironment control system 10 is a system that controls an air environment in asubject space 100. The air environment in thesubject space 100 includes various types such as a temperature, a humidity, a carbon dioxide concentration, an oxygen concentration, an airflow, and an odor, but in the following, the temperature is described as an example. As shown in the figure, the airenvironment control system 10 includes anair conditioning device 200, acontrol device 300, atemperature sensor 400, an input/output device 500, and aninformation processing device 600. - The
subject space 100 is a space whose air environment is to be controlled by the airenvironment control system 10. Thesubject space 100 is a space surrounded by awall 110, adoor 120, afloor 130, and a ceiling (not shown). Thewall 110 is provided with awindow 140. Hereinafter, a substance constituting the outer surface of thesubject space 100 such as thewall 110, thedoor 120, thefloor 130, the ceiling (not shown), or thewindow 140 is called a first substance. In thesubject space 100,indoor units 210 a to 210 c and a remote controller 240 (hereinafter referred to as “remocon”) of theair conditioning device 200 to be described later, a third temperature sensor 430 (retrofit sensor) to be described later, and the input/output device 500 to be described later are installed. Furthermore, in thesubject space 100, though not illustrated, fixtures emitting heat such as lighting, personal computers, monitors, and printers (hereinafter referred to as “heat-generating fixtures”), and fixtures not emitting heat such as desks, chairs, sofas, tables, and rugs (hereinafter, referred to as “non-heat-generating fixtures”) are placed. In addition, in thesubject space 100, though not illustrated, substances such as curtains and blinds that control the effects of the external environment such as a temperature, a humidity, an amount of solar radiation, an angle of solar radiation, a wind speed, and a wind pressure on thesubject space 100 are placed. Hereinafter, the substance controlling the effects of the external environment on thesubject space 100, such as the curtain or the blind is referred to as a second substance. - The
air conditioning device 200 is a device that conditions the air in thesubject space 100. Theair conditioning device 200 includes theindoor units 210 a to 210 c, anoutdoor unit 220, piping 230, and theremocon 240. Theindoor units 210 a to 210 c are installed in thesubject space 100 and absorb heat from the air in thesubject space 100 or discharge heat to the inside of thesubject space 100 by exchanging heat between the refrigerant coming through the piping 230 and the air in thesubject space 100. Theoutdoor unit 220 is installed outside thesubject space 100 and discharges heat to the inside of thesubject space 100 or absorbs heat from the air in thesubject space 100 by exchanging heat between the refrigerant coming through the piping 230 and the air in thesubject space 100. The piping 230 is a pipe connecting theindoor units 210 a to 210 c and theoutdoor unit 220, through which the refrigerant passes. Theremocon 240 is a device for remotely operating theair conditioning device 200. Note that theindoor units 210 a to 210 c are shown in the figure, but in the case where there is no need to distinguish the indoor units, the units are sometimes referred to as the indoor units 210. The figure shows three indoor units 210; however, one, two, or four or more indoor units 210 may be installed. - The
control device 300 is a device that controls theair conditioning device 200 to operate based on the set requirements. - The
temperature sensor 400 is installed at a predetermined position in thesubject space 100, and measures the temperature at the predetermined position. Thetemperature sensor 400 includesfirst temperature sensors 410 a to 410 c, asecond temperature sensor 420, and athird temperature sensor 430. Thefirst temperature sensors 410 a to 410 c are temperature sensors installed in theindoor units 210 a to 210 c, respectively, and measure the inlet temperature, which is the temperature of the air sucked intoindoor units 210 a to 210 c. Thesecond temperature sensor 420 is the temperature sensor of a thermistor of theremocon 240 to measure the temperature of the air around theremocon 240. However, depending on theremocon 240, thesecond temperature sensor 420 is not installed. Thethird temperature sensor 430 is a temperature sensor installed retrospectively in thesubject space 100 to measure the temperature of the air in thesubject space 100. However, there may be a configuration in which thethird temperature sensor 430 is not installed. - The input/
output device 500 is, for example, placed in thesubject space 100, and accepts the user operations to input information on placement of the indoor units 210, theremocon 240, thethird temperature sensor 430, the fixtures, the first substances, the second substances, etc., and information on the gaps in the first substances. In addition, the input/output device 500 accepts the user operation to input the target temperature at each position in thesubject space 100. At that time, the input/output device 500 outputs an image object representing thesubject space 100, and by placing icons on the image object, the placement information and the target temperature may be input. In addition, by placing the icons in desired orientations on the image object, the input/output device 500 may allow input of orientation information. The input/output device 500 may be a touch panel, for example. - Based on the placement information for each element such as the indoor unit 210, the fixture, the first substance, and the second substance in the
subject space 100, theinformation processing device 600 creates a superposition model by superimposing the physical models of respective elements stored in advance. Theinformation processing device 600 then estimates the temperature at each position in thesubject space 100 using the temperature measured by thetemperature sensor 400 and the superposition model. Theinformation processing device 600 then controls theair conditioning device 200 so that the difference between the target temperature at each position input by the user and the estimated temperature at each position is reduced. [Hardware configuration of information processing device] -
FIG. 2 is a diagram showing a hardware configuration example of theinformation processing device 600 in the present embodiment. As shown in the figure, theinformation processing device 600 includes a CPU (Central Processing Unit) 601, which is an arithmetic unit, a RAM (Random Access Memory) 602, which is a storage unit, a ROM (Read Only Memory) 603, and astorage device 604. TheRAM 602 is a main storage device (main memory), and used as a working memory when theCPU 601 performs arithmetic processing. TheROM 603 holds programs and data of setting values prepared in advance, etc., and theCPU 601 can execute processing by directly reading the programs and data from theROM 603. Thestorage device 604 is a storing unit for programs and data. Thestorage device 604 stores the programs, and theCPU 601 reads the programs stored in thestorage device 604 into the main storage device to execute thereof. In addition, thestorage device 604 stores the processing results by theCPU 601 to preserve thereof. As thestorage device 604, for example, a magnetic disk device, an SSD (Solid State Drive), etc. can be used. -
FIG. 3 is a block diagram showing a functional configuration example of theinformation processing device 600 in the present embodiment. As shown in the figure, theinformation processing device 600 in the present embodiment includes astorage section 610, aplacement acquisition section 620, atarget acquisition section 630, atemperature acquisition section 640, anestimation section 650, and anoutput section 660. - The
storage section 610 stores the physical model of the element affecting the air environment of the subject space 100 (hereinafter, referred to as an “element model”). Here, an element is not a component of air such as oxygen, carbon dioxide, or moisture in thesubject space 100, but means an object or a living thing such as the indoor unit 210, the fixture, the external environment, the substance, or a medium, to be described below. - The element may be, for example, the indoor unit 210 of the
air conditioning device 200. In this case, the element model is the physical model of the air conditioning device 200 (hereinafter referred to as an “air conditioner model”). The air conditioner model is a model for predicting the effect of theair conditioning device 200 on the temperature at each position in thesubject space 100 in the case where the indoor unit 210 of theair conditioning device 200 is at a specified position in thesubject space 100. - In addition, the element may be the fixture, for example. The fixtures include the heat-generating fixtures and the non-heat-generating fixtures.
- In the case where the element is the heat-generating fixture, the element model is the physical model of the heat-generating fixture (hereinafter referred to as a “heat-generating fixture model”). The heat-generating fixture model is a model for predicting the effect of the heat-generating fixture on the temperature at each position in the
subject space 100 by interrupting the air flow or generating heat in the case where the heat-generating fixture is at a specified position in thesubject space 100. Note that not only the heat-generating fixture, but also an animal such as a human or a plant may affect the temperature at each location in thesubject space 100 by interrupting the air flow or generating heat in some cases. Therefore, the heat-generating fixture may be regarded wider as a heating element that generates heat, and may include a physical model of an animal or a plant. In this sense, the heat-generating fixture model is an example of a heating element model for predicting the effect of the heating element present in the space on the air environment of the space. - In the case where the element is the non-heat-generating fixture, the element model is the physical model of the non-heat-generating fixture (hereinafter referred to as a “non-heat-generating fixture model”). The non-heat-generating fixture model is a model for predicting the effect of the non-heat-generating fixture on the temperature at each position in the
subject space 100 by interrupting the air flow in the case where the non-heat-generating fixture is at a specified position in thesubject space 100. Note that, in addition to the non-heat-generating fixture, there are items that affect the temperature at each position in thesubject space 100 by interrupting the air flow. Therefore, the non-heat-generating fixture may be regarded wider as a non-heating element that does not generate heat. In this sense, the non-heat-generating fixture model is an example of a non-heating element model for predicting the effect of the non-heating element present in the space on the air environment of the space. - Furthermore, the element may be, for example, the external environment such as the temperature, the humidity, the amount of solar radiation, the angle of solar radiation, the wind speed, or the wind pressure outside the
subject space 100. In this case, the element model is the physical model of the external environment (hereinafter referred to as an “external environment model”). The external environment model is a model for predicting the effect of the external environment of thesubject space 100 on the temperature at each position in thesubject space 100. - In addition, the element may be, for example, the first substance such as the ceiling, the
wall 110, thefloor 130, or thewindow 140 that conducts, transfers, or radiates the external environment. In this case, the element model is the physical model of the first substance (hereinafter referred to as a “first substance model”). The first substance model is a model for predicting the effect of the external environment outside thesubject space 100 on the temperature at each position in thesubject space 100 via the first substance in the case where the first substance is at a specified position on the outer surface of thesubject space 100. - In addition, the element may be, for example, a medium such as a draft that allows the external environment to directly flow in. In this case, the element model is the physical model of the medium (hereinafter referred to as a “medium model”). The medium model is a model for predicting the effect of the external environment outside the
subject space 100 on the temperature at each position in thesubject space 100 via the medium in the case where a gap, through which the medium directly flows in, is at a specified position on the outer surface of thesubject space 100. - In addition, the element may be the second substance such as a curtain or a blind that controls the effect of the external environment via the first substance or by the medium that directly flows in. In this case, the element model is the physical model of the second substance (hereinafter referred to as a “second substance model”). The second substance model is a model for predicting the effect on the temperature at each position in the
subject space 100 by controlling the effect of the external environment given via the first substance or by the medium that directly flows in when the second substance is at a specified position in thesubject space 100. - In the present embodiment, the
storage section 610 is provided as an example of a storage section that stores the element model created for each element that affects an air environment of a space to predict the effect of the element on the air environment of the space. Theplacement acquisition section 620 acquires information on the placement of elements in thesubject space 100 from the input/output device 500. Specifically, theplacement acquisition section 620 acquires information on the placement of the indoor units 210 andremocon 240 in thesubject space 100 from the input/output device 500. At that time, theplacement acquisition section 620 acquires information on the placement of thefirst temperature sensors 410 a to 410 c from the placement information of theindoor units 210 a to 210 c. In addition, if thesecond temperature sensor 420 is installed to theremocon 240, theplacement acquisition section 620 acquires the placement information of thesecond temperature sensor 420 from the placement information of theremocon 240. If thethird temperature sensor 430 is installed, theplacement acquisition section 620 also acquires placement information of thethird temperature sensor 430 in thesubject space 100 from the input/output device 500. Furthermore, theplacement acquisition section 620 acquires information on the placement of the fixtures, the first substances, and the second substances and information on the gaps in the first substances in thesubject space 100 from the input/output device 500. Here, the information on the placement of the elements in thesubject space 100 may include information on positions of the elements in the vertical and/or horizontal direction in thesubject space 100. - Alternatively, depending on the type of the elements, the
placement acquisition section 620 may acquire information on orientations of the elements in thesubject space 100 from the input/output device 500. - In the present embodiment, the
placement acquisition section 620 is provided as an example of the placement acquisition section that acquires information on placement of each element in a predetermined subject space. - The
target acquisition section 630 acquires the target temperature at each position in thesubject space 100 from the input/output device 500. In the present embodiment, thetarget acquisition section 630 is provided as an example of a target acquisition section that acquires a target air environment of the space. - The
temperature acquisition section 640 acquires the temperatures measured by thefirst temperature sensors 410 a to 410 c, thesecond temperature sensor 420, and thethird temperature sensor 430. However, thetemperature acquisition section 640 acquires the temperature measured by thesecond temperature sensor 420 only when thesecond temperature sensor 420 is installed to theremocon 240. In addition, thetemperature acquisition section 640 acquires the temperature measured by thethird temperature sensor 430 only when thethird temperature sensor 430 is installed. Consequently, the following four patterns can be considered for thetemperature acquisition section 640 to acquire the temperatures. The first one is a pattern that acquires the temperatures measured by thefirst temperature sensors 410 a to 410 c. The second one is a pattern that acquires the temperatures measured by thefirst temperature sensors 410 a to 410 c and the temperature measured by thesecond temperature sensor 420. The third one is a pattern that acquires the temperatures measured by thefirst temperature sensors 410 a to 410 c and the temperature measured by thethird temperature sensor 430. The fourth one is a pattern that acquires the temperatures measured by thefirst temperature sensors 410 a to 410 c, the temperature measured by thesecond temperature sensor 420, and the temperature measured by thethird temperature sensor 430. - The
estimation section 650 first assumes a specific position p, a temperature around which is to be obtained, from among plural positions in thesubject space 100, and calculates the temperature at the position. For the purpose, theestimation section 650 calculates the temperature difference ΔT, which is obtained by subtracting the temperature at the specific position p acquired by thetemperature acquisition section 640, using a physical model. The physical model is a superposition model created by superimposing an element model, which has been read from thestorage section 610 by theestimation section 650, on a physical model of the subject space 100 (hereinafter referred to as a “subject space model”) based on the placement information acquired by theplacement acquisition section 620. In the following, suppose that each physical model constituting the superposition model is a term, and each term will be described. - The first term corresponds to the subject space model, and prescribes the thermal diffusivity and the thermal conductivity from the positions, where the respective
first temperature sensors 410 a to 410 c,second temperature sensor 420,third temperature sensor 430 are installed, to the specific position p. The thermal diffusivity and thermal conductivity should be calculated from information on the preset size of thesubject space 100. Assuming the thermal diffusivity as α, the thermal conductivity as β, and the position where each of thefirst temperature sensors 410 a to 410 c,second temperature sensor 420, andthird temperature sensor 430 is installed as n, the term is denoted by f(α, β, n, p). - The second term corresponds to the air conditioner model, and prescribes the effects of the blow-out temperature, the wind direction, the wind speed, and the air volume of the indoor unit 210 of the
air conditioning device 200 on the temperature at the specific position p. The blow-out temperature, the wind direction, the wind speed, and the air volume of the indoor unit 210 should be dynamically acquired from thecontrol device 300. Suppose that the blow-out temperature, the wind direction, the wind speed, and the air volume of the indoor unit 210 are Tb, Bd, Bs, and Bv, respectively, the position where the indoor unit 210 is placed is n1, the term is denoted as g1(Tb, Bd, Bs, Bv, n1, p). - Note that, in the case where the blow-out directions of the two indoor units 210 face each other, the specific position p therebetween is affected by blowing out from both indoor units 210. In this case, the overall effect should be expressed by simply superimposing the second terms that prescribe the effect on the temperature at the specific position p. In addition, there is also a case in which effects of blow-out from both indoor units 210 are different, such as when the specific position p is toward one side of the two indoor units 210. In this case, in the second term, it is possible to express the effects of the plural indoor units 210 by superposition for all specific positions p by calculating the effects for each distance from the indoor units 210. In this sense, the
estimation section 650 is an example of the estimation section that estimates the air environment in the subject space using plural element models taking into account the mutual effects among the plural elements. - The third term corresponds to the heat-generating fixture model, and prescribes the effect of the heat-generating fixture, as an interrupting body that interrupts the air flow inside the
subject space 100 or as a heating element, on the temperature at the specific position p. The information on the heat generated by the heat-generating fixture as a heating element should be acquired from the information on the heat-generating fixture set in advance. In addition, the effect of the heat-generating fixture as an interrupting body depends on the size of the heat-generating fixture, but the size of the heat-generating fixture should be acquired from the information on the heat-generating fixture set in advance. Suppose that the information on the heat generated by the heat-generating fixture is e, the size of the heat-generating fixture is s1, the specific heat is h1, and the position where the heat-generating fixture is placed is n2, the term is denoted as g2(e, s1, h1, n2, p). - The fourth term corresponds to the non-heat-generating fixture model, and prescribes the effect of the non-heat-generating fixture, as an interrupting body that interrupts the air flow inside the
subject space 100, on the temperature at the specific position p. The effect of the non-heat-generating fixture as an interrupting body depends on the size of the heat-generating fixture, but the size of the non-heat-generating fixture should be acquired from the information on the heat-generating fixture set in advance. Suppose that the size of the heat-generating fixture is s2, the specific heat is h2, and the position where the non-heat-generating fixture is placed is n3, the term is denoted as g3(s2, h2, n3, p). - The fifth term corresponds to the external environment model, and prescribes the effect of the external environment outside the
subject space 100 such as the temperature, the humidity, the amount of solar radiation, the angle of solar radiation, the wind speed, and the wind pressure on the temperature at the specific position p. The temperature, the humidity, the amount of solar radiation, the angle of solar radiation, the wind speed, and the wind pressure outside thesubject space 100 should be acquired from weather information, etc. in advance. Suppose that the temperature, the humidity, the amount of solar radiation, the angle of solar radiation, the wind speed, and the wind pressure outside thesubject space 100 are Ot, Oh, Osv, Osa, Owy, and Owp, respectively, and the position corresponding to the external environment is n4, the term is denoted as g4(Ot, Oh, Osv, Osa, Owy, Owp, n4, p). The sixth term corresponds to the first substance model, and prescribes the effect of the external environment on the temperature at the specific position p via the first substance such as the ceiling, thewall 110, thefloor 130, and thewindow 140. The effect of the external environment via the first substance depends on the size, the thermal insulation performance, etc. of the first substance, and the size, the thermal insulation performance, etc. of the first substance should be acquired from the information on the first substance set in advance. Suppose that the size and the thermal insulation performance of the first substance are s3 and i, respectively, and the position where the first substance is placed is n5, the term is denoted as g5(s3, i, n5, p). - The seventh term corresponds to the medium model, and prescribes the effect of the external environment on the temperature at the specific position p by the medium such as the draft directly flowing from the first substance such as the ceiling, the
wall 110, thefloor 130, and thewindow 140. The effect of the external environment by the medium depends on the size of the gap in the first substance, the opening/closing degree of thewindow 140, etc.; of these, the size of the gap in the first substance should be acquired from the information on the first substance set in advance, and the opening/closing degree of thewindow 140 should be dynamically acquired every time thewindow 140 is opened and closed. Suppose that the size of the gap in the first substance and the opening/closing rate of thewindow 140 are sg and Wo, respectively, and the position where the medium directly flows in is n6, the term is denoted as g6(sg, Wo, n6, p). - The eighth term corresponds to the second substance model, and prescribes the effect on the temperature at the specific position p provided by the second substance such as the curtain or the blind controlling the effect provided by the medium flowing through the first substance or directly from the external environment outside the
subject space 100. The control by the second substance depends on the size and the transmittance of the second substance, and the size and the transmittance of the second substance should be acquired from the information on the second substance set in advance. Suppose that the size and the transmittance of the second substance are s3 and Ct, respectively, and the position where the second substance is placed is n7, the term is denoted as g7(s3, Ct, n7, p). Theestimation section 650 calculates the temperature difference ΔT by superimposing the above terms as in the following expression. However, in the following expression, the parentheses describing the parameters of the functions f, g1, g2, g3, g4, g5, g6, g7 of the respective terms are omitted. -
- After that, the
estimation section 650 creates the superposition model by performing the same processing for all positions in thesubject space 100 as the specific position p. On that occasion, theestimation section 650 creates the superposition model using any one of thefirst temperature sensors 410 a to 410 c, thesecond temperature sensor 420, and thethird temperature sensor 430. For example, first, in the case where only thefirst temperature sensors 410 a to 410 c are installed, theestimation section 650 should create the superposition model using only thefirst temperature sensors 410 a to 410 c. Second, in the case where thefirst temperature sensors 410 a to 410 c, and thesecond temperature sensor 420 are installed, theestimation section 650 should create the superposition model using a combination of thefirst temperature sensors 410 a to 410 c and thesecond temperature sensor 420. Third, in the case where thefirst temperature sensors 410 a to 410 c and thethird temperature sensor 430 are installed, theestimation section 650 should create the superposition model using a combination of thefirst temperature sensors 410 a to 410 c and thethird temperature sensor 430. Fourth, in the case where thefirst temperature sensors 410 a to 410 c, thesecond temperature sensor 420, and thethird temperature sensor 430 are installed, theestimation section 650 should create the superposition model using a combination of thefirst temperature sensors 410 a to 410 c, thesecond temperature sensor 420, and thethird temperature sensor 430. - When the superposition model is created in this way, the
estimation section 650 estimates the temperature at each position in thesubject space 100 by inputting the temperature acquired by thetemperature acquisition section 640 into the superposition model as an explanatory variable. - In the present embodiment, the
estimation section 650 is provided as an example of an estimation section that estimates the air environment in the subject space using the information of the placement of each element and the element model corresponding to the element. - The
output section 660 outputs a control parameter to thecontrol device 300, the control parameter controlling theair conditioning device 200 so that the difference between the target temperature at each position acquired by thetarget acquisition section 630 and the temperature at each position estimated by theestimation section 650 is reduced. Here, examples of the control parameter include the blow-out area, the number of revolutions of fans (air volume), the refrigerant temperature (blow-out temperature), and the flap angle of theair conditioning device 200. In the present embodiment, theoutput section 660 is provided as an example of a control section that controls the elements provided in the subject space so that the difference between the air environment in the subject space and the target air environment of the space is reduced. In addition, in the present embodiment, theair conditioning device 200 is used as an example of an element controlled by the control section. -
FIG. 4 is a flowchart showing an operation example of theinformation processing device 600 in the present embodiment. Note that, here, thefirst temperature sensors 410 a to 410 c, thesecond temperature sensor 420, and thethird temperature sensor 430 are represented by thetemperature sensors 400. - As shown in the figure, in the
information processing device 600, first, theplacement acquisition section 620 acquires the information on the placement of the indoor units 210, thetemperature sensors 400, the fixtures, the first substances, and the second substances in thesubject space 100, and the information on the gaps in the first substances (step 701). In addition, thetarget acquisition section 630 acquires the information on the target temperature at each position in the subject space 100 (step 702). - Next, in the
information processing device 600, theestimation section 650 creates the superposition model by superimposing the air conditioner model, the heat-generating fixture model, the non-heat-generating fixture model, the external environment model, the first substance model, the medium model, and the second substance model, which have been stored in thestorage section 610, on the subject space model (step 703). On that occasion, theestimation section 650 should create the subject space model based on the information on the placement of thetemperature sensors 400 acquired in step 701. In addition, theestimation section 650 should create the superposition model by superimposing the air conditioner model, the heat-generating fixture model, the non-heat-generating fixture model, the external environment model, the first substance model, the medium model, and the second substance model based on the information on the placement of the indoor units 210, the fixtures, the first substances, and the second substances and the information on the gaps in the first substances acquired in step 701. - Subsequently, the
temperature acquisition section 640 acquires the information on the temperature measured by the temperature sensor 400 (step 704). Consequently, theestimation section 650 estimates the temperature at each position in thesubject space 100 by inputting the information on the temperature acquired in step 704 into the superposition model created in step 703 (step 705). - After that, in the
information processing device 600, theoutput section 660 outputs the control parameter that controls theair conditioning device 200 to the control device 300 (step 708). Specifically, theoutput section 660 outputs the control parameter to reduce the difference between the target temperature at each position in thesubject space 100 acquired in step 702 and the temperature at each position in thesubject space 100 estimated in step 705. -
FIG. 5 is a diagram showing aninput screen 810, which is an example of an input screen for inputting the placement information acquired in step 701 inFIG. 4 . - As shown in the figure, the
input screen 810 shows asubject space object 811 that is an image object representing thesubject space 100 in three dimensions. In this state, the user inputs information on the placement of each element by placing an image object representing each element on thesubject space object 811. In the figure, the user inputs the information on the placement of theindoor units indoor units subject space object 811. In addition, the user inputs the information on the placement of theremocon 240 by placing aremocon object 813 representing theremocon 240 on thesubject space object 811. Furthermore, the user inputs information on the placement of thethird temperature sensor 430 by placing a retrofit sensor object representing the third temperature sensor 430 (retrofit sensor) on thesubject space object 811. Still further, the user inputs the information on the placement of thedesk 160 by placing adesk object 815 representing thedesk 160, which is an example of the fixture, on thesubject space object 811. - Here, the
subject space object 811 should be displayed by the user creating a three-dimensional drawing corresponding to the size of thesubject space 100 in theinput screen 810. In addition, the indoor unit objects 812 a and 812 b, theremocon object 813, theretrofit sensor object 814, thedesk object 815, etc. should be placed by the user selecting thereof from a list prepared on theinput screen 810. -
FIG. 6 is a diagram showing aninput screen 820, which is an example of an input screen for inputting information on the target temperature acquired in step 702 inFIG. 4 . - As shown in the figure, the
input screen 820 shows division objects 821 a to 821 f that are the imageobjects representing divisions 150 a to 150 f in thesubject space 100 in three dimensions, respectively. In this state, the user inputs the target temperatures in thedivisions 150 a to 150 f by placing the target temperatures near the division objects 821 a to 821 f representing thedivisions 150 a to 150 f, respectively. In the figure, the user inputs 24° C., 24° C., and 26° C. as the target temperatures in thedivisions divisions -
FIG. 7 is a diagram showing an example of information on the temperature acquired in step 704 shown inFIG. 4 . - As shown in the figure, it is assumed that the inlet temperature measured by the
first temperature sensor 410 a installed to theindoor unit 210 a is 24° C., and the inlet temperature measured by thesecond temperature sensor 410 b installed to theindoor unit 210 b is 25° C. In addition, it is assumed that the temperature measured by thesecond temperature sensor 420 installed to theremocon 240 is 24° C. Furthermore, it is assumed that the temperature measured by thethird temperature sensor 430, which is the retrofit sensor, is 24° C. -
FIG. 8 is a diagram showing an example of the temperature in each division estimated in step 705 inFIG. 4 . - As shown in the figure, the
estimation section 650 estimates the temperatures in thedivisions 150 a to 150 f by inputting the information on the temperature shown inFIG. 7 into the superposition model as the explanatory variable. It is assumed that theestimation section 650 estimated the temperatures in thedivisions divisions - Here, of the estimated temperatures in the
divisions 150 a to 150 f, only the temperature in the diagonally hatcheddivision 150 d is different from the target temperature that has been input in theinput screen 820 inFIG. 6 . Specifically, the target temperature in thedivision 150 d that has been input in theinput screen 820 inFIG. 6 is 22° C., whereas the estimated temperature in thedivision 150 d shown inFIG. 8 is 24° C. On the other hand, the target temperatures in the divisions, other than thedivision 150 d, that have been input in theinput screen 820 inFIG. 6 and the estimated temperatures in the divisions, other than thedivision 150 d, shown inFIG. 8 are the same. -
FIG. 9 is a diagram showing an example of control of theair conditioning device 200 by the control parameter output in step 706 inFIG. 4 . - As described above, the target temperature in the
division 150 d that has been input in theinput screen 820 inFIG. 6 is lower than the estimated temperature in thedivision 150 d shown inFIG. 8 . Then, as shown in the figure, theoutput section 660 changes the flap angle of theindoor unit 210 a to the angle increasing the air volume by the control parameter. On the other hand, as described above, the target temperatures in thedivisions input screen 820 inFIG. 6 and the estimated temperatures in thedivisions FIG. 8 are the same. Therefore, as shown in the figure, theoutput section 660 stops the operation of theindoor unit 210 b by the control parameter. -
FIGS. 10A and 10B are diagrams showinginput screens FIG. 4 . - As shown in the figure, the input screens 910 and 920 show
planar objects subject space 100 in two dimensions, respectively. In addition, in theplanar objects desk groups 170 a to 170 f - First, the
input screen 910 inFIG. 10A shows aplanar object 911 representing aplane 180 at a floor height of 130 mm to 700 mm in thesubject space 100. In this state, the user inputs information on the placement of each element by placing the image object representing each element on theplanar object 911. In the figure, the user inputs information on the placement of aplant 171 by placing aplant object 913 representing theplant 171 on thedesk group object 912 a in theplanar object 911. In addition, the user inputs information on the placement ofpersonal computer groups personal computer groups planar object 911. Furthermore, the user inputs information on the placement of apersonal computer 173 by placing apersonal computer object 915 representing thepersonal computer 173 on thedesk group object 912 e in theplanar object 911. - Moreover, the
input screen 920 inFIG. 10B shows aplanar object 921 representing aplane 190 at a floor height of 130 mm to 2700 mm in thesubject space 100. In this state, the user inputs information on the placement of each element by placing the image object representing each element on theplanar object 921. In the figure, the user inputs information on the placement of ceiling-embeddedindoor units 250 a to 250 d by placing indoor unit objects 923 a to 923 d representing the ceiling-embeddedindoor units 250 a to 250 d on the desk group objects 922 a, 922 c, 922 d and 922 f in theplanar object 921. - The temperature distribution in the
subject space 100 may be displayed by pressing acomputation button 919 on theinput screen 910 inFIG. 10A and acomputation button 929 on theinput screen 920 inFIG. 10B . - The processing performed by the
information processing device 600 in the present embodiment is provided as, for example, a program such as application software. - The program causes a computer to execute: a function of storing an element model created for each of elements affecting an air environment of a space, the element model predicting an effect of each of the elements on the air environment of the space; a function of acquiring information on placement of each of the elements provided in a predetermined subject space; and a function of estimating an air environment in the subject space using the acquired information on the placement of each of the elements and the element model corresponding to each of the elements.
- Note that it is possible to provide the program that implements the present embodiment by a communication tool, of course, and it is also possible to store thereof in a storage medium, such as a CD-ROM, to be provided.
-
-
- 10 Air environment control system
- 100 Subject space
- 200 Air conditioning device
- 300 Control device
- 400 Temperature sensor
- 500 Input/output device
- 600 Information processing device
- 610 Storage section
- 620 Placement acquisition section
- 630 Target acquisition section
- 640 Temperature acquisition section
- 650 Estimation section
- 660 Output section
Claims (18)
1. An information processing device comprising:
a storage section storing an element model created for each of elements affecting an air environment of a space, the element model predicting an effect of each of the elements on the air environment of the space;
a placement acquisition section acquiring information on placement of each of the elements provided in a predetermined subject space; and
an estimation section estimating an air environment in the subject space using the information on the placement of each of the elements acquired by the placement acquisition section and the element model, which corresponds to each of the elements, stored in the storage section.
2. The information processing device according to claim 1 , wherein the element model is a model of an element affecting the air environment of the space.
3. The information processing device according to claim 1 , wherein the air environment of the space includes at least one of a temperature, a humidity, an airflow, and a concentration of carbon dioxide in the space.
4. The information processing device according to claim 1 , wherein the element model includes an air conditioner model for predicting an effect of an air conditioner, which is provided to the space, on the air environment of the space.
5. The information processing device according to claim 1 , wherein the element model includes a heating element model for predicting an effect of a heating element, which is present in the space, on the air environment of the space.
6. The information processing device according to claim 5 , wherein the effect of the heating element on the air environment of the space is an effect of heat generated by the heating element.
7. The information processing device according to claim 1 , wherein the element model includes a non-heating element model for predicting an effect of a non-heating element, which is present in the space, on the air environment of the space.
8. The information processing device according to claim 1 , wherein the element model includes an external environment model for predicting an effect of an external environment of the space on the air environment of the space.
9. The information processing device according to claim 8 , wherein the element model further includes a first substance model for predicting an effect of the external environment on the air environment of the space exerted through a first substance constituting an outer surface of the space.
10. The information processing device according to claim 9 , wherein the element model further includes a second substance model for predicting an effect of a second substance on the air environment of the space, the second substance controlling the effect exerted by the external environment through the first substance.
11. The information processing device according to claim 8 , wherein the element model further includes a medium model for predicting an effect of the external environment on the air environment of the space exerted by a medium directly flowing into the space.
12. The information processing device according to claim 11 , wherein the element model further includes a second substance model for predicting an effect of a second substance on the air environment of the space, the second substance controlling the effect of the external environment exerted by the medium.
13. The information processing device according to claim 1 , further comprising:
a target acquisition section acquiring a target air environment of the space; and
a control section controlling the element provided in the subject space to reduce a difference between the air environment in the subject space estimated by the estimation section and the target air environment of the space acquired by the target acquisition section.
14. The information processing device according to claim 1 , wherein the placement acquisition section acquires the information on the placement by accepting designation of a position of an object image corresponding to each of the elements on a screen.
15. The information processing device according to claim 14 , wherein the placement acquisition section accepts designation of orientation of each of the elements in the subject space on the screen.
16. The information processing device according to claim 1 , wherein the placement acquisition section acquires the information on the placement including information on a position of each of the elements in at least one of a vertical direction and a horizontal direction in the subject space.
17. The information processing device according to claim 1 , wherein the estimation section estimates the air environment in the subject space using a plurality of the element models taking into account mutual effects among a plurality of the elements.
18. A non-transitory computer readable medium storing a program causing a computer to execute:
a function of storing an element model created for each of elements affecting an air environment of a space, the element model predicting an effect of each of the elements on the air environment of the space;
a function of acquiring information on placement of each of the elements provided in a predetermined subject space; and
a function of estimating an air environment in the subject space using the acquired information on the placement of each of the elements and the element model corresponding to each of the elements.
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JP2001344294A (en) * | 2000-06-01 | 2001-12-14 | Shimizu Corp | System for supporting design of heat transfer and air flowing in building |
JP3751828B2 (en) | 2001-01-12 | 2006-03-01 | 株式会社東芝 | Air conditioning heat source equipment optimum operation control device |
JP4437187B2 (en) * | 2004-04-08 | 2010-03-24 | 国立大学法人東京工業大学 | Method and apparatus for predicting thermal environment inside and outside buildings |
JP5851105B2 (en) * | 2011-03-15 | 2016-02-03 | 株式会社東芝 | Energy demand forecasting apparatus and program |
JP7055218B2 (en) * | 2018-10-10 | 2022-04-15 | 三菱電機株式会社 | Air conditioner, air conditioner control method and program |
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JP2022149773A (en) | 2022-10-07 |
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